XAutonomy.AI · 2 days ago
Machine Learning Software Engineer
San Francisco Bay Area
Full-time
Onsite
Entry, Mid Level
2+ years expXAutonomy.AI is developing the next generation of ground transportation with advanced physical AI. They are seeking a Machine Learning Software Engineer to build software for autonomy-focused foundation models, design multimodal data pipelines, and deliver production-grade tooling for low-latency operation.
Information Technology & Services
Hiring Manager
Tutkun Sen, Ph.D.
Responsibilities
Build the software backbone for autonomy-focused foundation models: design and ship multimodal data pipelines (ingest, validate, shard, package) and reproducible training/evaluation workflows (manifests, checkpoints, failure handling)
Implement and iterate on LLM, VLM, and VLA architectures; own model code paths, input/tokenization, inference runners, and output heads for downstream consumers
Integrate and operate simulators for closed-loop evaluation; build tooling for metrics, visualization, and experiment management
Deliver production-grade serving and inference tooling for deterministic, low-latency operation on bench/mule and eventual vehicle deployments
Own systems from scratch: architecture → implementation → testing → documentation → iteration; raise the bar on code quality, reliability, and observability
Qualification
Required
MS in CS/ML/Robotics or BS + ≥2 years building ML/data/evaluation systems
Strong Python fundamentals (data structures, testing, debugging, modular design) and a track record of shipping production-quality code/APIs and reliable automation
Demonstrated experience building data/ML pipelines and evaluation tooling, and integrating training and inference using PyTorch, TensorFlow, or JAX
Dataset packaging, sharding, manifest formats, and integrity checks for large multimodal datasets
Practical work improving training/inference throughput and latency (e.g., mixed precision, efficient batching, model parallelism)
Cloud storage and training workflows, containerization, CI/CD, and experiment observability (tracking, logging, metrics)
Strong communication, collaborative with research and engineering partners, and a bias for ownership/independence in a small, fast-moving team
Preferred
Prior work on perception, detection, or multimodal models
Company
XAutonomy.AI
0-1 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase